Understanding the Role of Artificial Neural Networks in Modern Healthcare
Artificial neural networks (ANNs) play a crucial role in healthcare, enhancing diagnostic accuracy and patient care. 🏥🤖
Artificial intelligence orchestration for text-based ultrasonic simulation via self-review by multi-large language model agents.
AI-driven ultrasonic simulation reduces configuration time by 75% and error rates from 23.89% to 1.48%. 🤖📉
AI Model Predicts Antibiotic Resistance in Bacteria
AI predicts antibiotic resistance in bacteria, highlighting gene transfer in humans and wastewater. This research aids public health efforts. 🦠🔬
Effects of Introducing Generative AI in Rehabilitation Clinical Documentation.
Generative AI enhances rehabilitation documentation: reduced time pressure (NASA-TLX) and improved quality. 📊🤖
Dr. Jason Broch Appointed to Highland Marketing Advisory Board
Dr. Jason Broch joins Highland Marketing Advisory Board, bringing expertise in digital health and NHS transformation. 🏥💻
Strengthening Discovery and Application of Artificial Intelligence in Anesthesiology: A Report from the Anesthesia Research Council.
Exploring AI in Anesthesiology: Key Findings from the Anesthesia Research Council Report 🤖💉
Study Reveals Bias in AI Treatment Recommendations in Healthcare
AI in healthcare may show bias in treatment recommendations based on patient demographics, raising concerns for equitable care. ⚖️🩺
Methodological and reporting quality of machine learning studies on cancer diagnosis, treatment, and prognosis.
Evaluating machine learning in oncology: 89% low bias, but reporting gaps persist. 📊🔍